elasticsearch聚合统计出现次数

public void getResult() {        String beanName = "ppcOnlineEs";        int size = 1000000;        EsIndexClientBean esIndexClientBean = (EsIndexClientBean) context.getBean(beanName);        TransportClient transportClient = esIndexClientBean.getTransportClient();        org.elasticsearch.index.query.RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("createTime");        rangeQueryBuilder.includeUpper(true).includeLower(true).from("2017-06-06 00:00:00").to("2017-11-06 00:00:00");        SearchResponse sr = transportClient.prepareSearch("videonew").setTypes("videonew").setQuery(rangeQueryBuilder).setSize(0)                .addAggregation(                        //按照displayName.displayName做聚合，聚合结果倒序排序                        AggregationBuilders.terms("by_displayName").field("displayName.displayName").order(Terms.Order.count(false)).size(size)).execute().actionGet();        Map<String, Aggregation> aggregationMap = sr.getAggregations().getAsMap();        //获取聚合结果        Aggregation agg = aggregationMap.get("by_displayName");        String outfileName = "C:\\重复.txt";        try {            BufferedWriter bw = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(new File(outfileName))));            int count = 0;            for (Terms.Bucket entry : ((StringTerms) agg).getBuckets()) {                count++;                String key = entry.getKeyAsString();            // bucket key                long docCount = entry.getDocCount();            // Doc count                if (docCount < 2) {                    break;                }                StringBuilder sb = new StringBuilder();                sb.append( key + "\t" + docCount);                bw.write(sb.toString());                bw.newLine();                if(count%1000==0)                {                    bw.flush();                }            }            bw.flush();            bw.close();        } catch (Exception e)        {            e.printStackTrace();        }    }